Observability

Observability provides a structured way to monitor data behavior, detect anomalies, and identify trends across datastores and tables. It supports consistent tracking through Measures and Metrics, including daily data volumes, data freshness, and specific field-level values measured against predefined thresholds. Automated scans, heatmaps, and visual insights make it easier to spot issues, set thresholds, and adjust monitoring settings to maintain data integrity.

Note

For more information please refer to the observability overview documentation

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Manage Observability

In this section, you can manage the observability settings, including editing checks, thresholds, maximum ages, and marking checks as favorites.

Note

For more information please refer to the manage observability overview documentation